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I am searching for C# library which has code that builds spatial index in memory based on geometry bounds and enables fast searching for all geometry inside given bounds.

I prefer free library.

  • sharpmap.codeplex.com but you say where your source data is coming from MYSQL? POSTGRES, SQLSERVER, ORACLE? or file – Mapperz Dec 2 '11 at 16:20
  • I have many data sources, so I will look for most generic solution from suggestions all gave. – watbywbarif Dec 3 '11 at 17:24
  • I was looking for C# bindings for libspatialindex, but I currently don't see anything beyond Rtree for Python. – Mike T Dec 3 '11 at 23:50
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There is a C#/.NET port of JTS Topology Suite: https://github.com/NetTopologySuite/NetTopologySuite

Here's the index classes: https://github.com/NetTopologySuite/NetTopologySuite/tree/develop/NetTopologySuite/Index

License Information:
NTS: https://raw.githubusercontent.com/NetTopologySuite/NetTopologySuite/develop/License.md

EDL: https://raw.githubusercontent.com/locationtech/jts/master/LICENSE_EDLv1.txt

EPL: https://raw.githubusercontent.com/locationtech/jts/master/LICENSE_EPLv1.txt

  • This looks OK, I will try to use this code and check this as answer if there is no problems. – watbywbarif Dec 3 '11 at 17:19
  • Using 1.11 version, looks OK for now. – watbywbarif Dec 14 '11 at 15:23
  • Beware. JTS is licensed under LGPL, which means you'll have to disclose the source code of your main application using it. – C. Tewalt Aug 14 '18 at 19:06
  • @matrixugly: it's dual licensed under EPL and EDL. – Jay Cummins Aug 14 '18 at 19:29
  • Ah - right. I see this from the JTS wikipedia page. "up to JTS 1.14, and the GEOS port, are published under the GNU Lesser General Public License (LGPL)." – C. Tewalt Aug 15 '18 at 16:29
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Maybe try googling for specific indexing methods. For example, when I Google for C# r-tree this is the first result.

  • Of course my life would have been more simple in start if I knew that I was looking for R-Tree ;) Thx! – watbywbarif Dec 3 '11 at 17:21
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Another option is to use SQLite + Spatialite in memory. Create a table with a geometry column and a spatial index and insert your geometries there. Then use SQL queries to get the matching geometries.

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